Optimisation and comprehensive evaluation of alternative energising paths for power system restoration
Power system restoration after a major blackout is a complex process, in which selection of energising paths is a key issue to realise unit and load restoration safely and efficiently. In general, the energising path scheme made beforehand may not be executed successfully due to the possible faults...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-05-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-gtd.2018.6277 |
| _version_ | 1828059371979931648 |
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| author | Shaoyan Li Xueping Gu Guangqi Zhou Yang Li |
| author_facet | Shaoyan Li Xueping Gu Guangqi Zhou Yang Li |
| author_sort | Shaoyan Li |
| collection | DOAJ |
| description | Power system restoration after a major blackout is a complex process, in which selection of energising paths is a key issue to realise unit and load restoration safely and efficiently. In general, the energising path scheme made beforehand may not be executed successfully due to the possible faults on the related lines under the extreme system condition, so it is necessary to provide alternative path schemes for system restoration. In view of this, the energising path optimisation based on the minimum cost flow model is investigated, then an iterative searching method for alternative path schemes based on mixed integer linear programming is proposed. The iterative method for alternative path schemes could determine more than one scheme with minimal charging reactive power efficiently. In order to make a comprehensive evaluation of the alternative schemes, an evaluation index set is established, and the method based on similarity to ideal grey relational projection is introduced to achieve the final evaluation. The New England 10‐unit 39‐bus system and the southern Hebei power system of China are employed to demonstrate the effectiveness of the proposed method. The proposed method can provide more efficient and comprehensive decision support for the dispatchers to select reasonable energising paths. |
| first_indexed | 2024-04-10T21:41:58Z |
| format | Article |
| id | doaj.art-e3c11c7a19c84a06a6d536a5fc453da0 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-10T21:41:58Z |
| publishDate | 2019-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-e3c11c7a19c84a06a6d536a5fc453da02023-01-19T04:11:43ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952019-05-0113101923193210.1049/iet-gtd.2018.6277Optimisation and comprehensive evaluation of alternative energising paths for power system restorationShaoyan Li0Xueping Gu1Guangqi Zhou2Yang Li3School of Electrical and Electronic EngineeringNorth China Electric Power UniversityHebei071003People's Republic of ChinaSchool of Electrical and Electronic EngineeringNorth China Electric Power UniversityHebei071003People's Republic of ChinaSchool of Electrical and Electronic EngineeringNorth China Electric Power UniversityHebei071003People's Republic of ChinaSchool of Electrical EngineeringNortheast Electric Power UniversityJilin132012People's Republic of ChinaPower system restoration after a major blackout is a complex process, in which selection of energising paths is a key issue to realise unit and load restoration safely and efficiently. In general, the energising path scheme made beforehand may not be executed successfully due to the possible faults on the related lines under the extreme system condition, so it is necessary to provide alternative path schemes for system restoration. In view of this, the energising path optimisation based on the minimum cost flow model is investigated, then an iterative searching method for alternative path schemes based on mixed integer linear programming is proposed. The iterative method for alternative path schemes could determine more than one scheme with minimal charging reactive power efficiently. In order to make a comprehensive evaluation of the alternative schemes, an evaluation index set is established, and the method based on similarity to ideal grey relational projection is introduced to achieve the final evaluation. The New England 10‐unit 39‐bus system and the southern Hebei power system of China are employed to demonstrate the effectiveness of the proposed method. The proposed method can provide more efficient and comprehensive decision support for the dispatchers to select reasonable energising paths.https://doi.org/10.1049/iet-gtd.2018.6277alternative path schemesminimal charging reactive powercomprehensive evaluationalternative schemesNew England 10‐unit 39‐bus systemsouthern Hebei power system |
| spellingShingle | Shaoyan Li Xueping Gu Guangqi Zhou Yang Li Optimisation and comprehensive evaluation of alternative energising paths for power system restoration IET Generation, Transmission & Distribution alternative path schemes minimal charging reactive power comprehensive evaluation alternative schemes New England 10‐unit 39‐bus system southern Hebei power system |
| title | Optimisation and comprehensive evaluation of alternative energising paths for power system restoration |
| title_full | Optimisation and comprehensive evaluation of alternative energising paths for power system restoration |
| title_fullStr | Optimisation and comprehensive evaluation of alternative energising paths for power system restoration |
| title_full_unstemmed | Optimisation and comprehensive evaluation of alternative energising paths for power system restoration |
| title_short | Optimisation and comprehensive evaluation of alternative energising paths for power system restoration |
| title_sort | optimisation and comprehensive evaluation of alternative energising paths for power system restoration |
| topic | alternative path schemes minimal charging reactive power comprehensive evaluation alternative schemes New England 10‐unit 39‐bus system southern Hebei power system |
| url | https://doi.org/10.1049/iet-gtd.2018.6277 |
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